nuclear receptor binding SET domain protein 2Genealiases: KMT3F · KMT3G · MMSET · RAUST · REIIBP · TRX5
Q-omics provides the consensus-scored NSD2 profile across patient tissues and cancer cell-line models. NSD2 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, NSD2 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, NSD2 protein abundance shows 21,760 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, HNSC, and GBM as cancer lineages where NSD2 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for NSD2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NSD2 survival associations across molecular data types. NSD2 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (10) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NSD2 RNA expression–survival associations across cancer types. High NSD2 expression shows unfavorable associations in MESO, ACC, LIHC, KICH and UVM, but favorable associations in UCS. The MESO Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify MESO as the clearest survival context for NSD2 RNA expression.
This table summarizes NSD2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for NSD2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NSD2 shows higher tumor expression in HNSC, KIRP, LIHC, BLCA, STAD and LUSC. The HNSC box plot shows higher NSD2 RNA expression in tumor versus normal tissue (log2 FC = +1.299, t-test p < 0.001).
This table shows molecular features associated with NSD2 in patient tissues and cancer cell lines. In patient samples, NSD2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, NSD2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
